{"title":"用于数字图像去噪的空间中值滤波器","authors":"James Church, Yixin Chen, S. Rice, Er Meanfilt","doi":"10.1109/SECON.2008.4494367","DOIUrl":null,"url":null,"abstract":"In this paper, six different image filtering algorithms are compared based on their ability to reconstruct noise-affected images. The purpose of these algorithms is to remove noise from a signal that might occur through the transmission of an image. A new algorithm, the spatial median filter, is introduced and compared with current image smoothing techniques. Experimental results demonstrate that the proposed algorithm is comparable to these techniques. A modification to this algorithm is introduced to achieve more accurate reconstructions over other popular techniques.","PeriodicalId":188817,"journal":{"name":"IEEE SoutheastCon 2008","volume":"76 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"140","resultStr":"{\"title\":\"A Spatial Median Filter for noise removal in digital images\",\"authors\":\"James Church, Yixin Chen, S. Rice, Er Meanfilt\",\"doi\":\"10.1109/SECON.2008.4494367\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, six different image filtering algorithms are compared based on their ability to reconstruct noise-affected images. The purpose of these algorithms is to remove noise from a signal that might occur through the transmission of an image. A new algorithm, the spatial median filter, is introduced and compared with current image smoothing techniques. Experimental results demonstrate that the proposed algorithm is comparable to these techniques. A modification to this algorithm is introduced to achieve more accurate reconstructions over other popular techniques.\",\"PeriodicalId\":188817,\"journal\":{\"name\":\"IEEE SoutheastCon 2008\",\"volume\":\"76 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-04-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"140\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE SoutheastCon 2008\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SECON.2008.4494367\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE SoutheastCon 2008","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SECON.2008.4494367","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Spatial Median Filter for noise removal in digital images
In this paper, six different image filtering algorithms are compared based on their ability to reconstruct noise-affected images. The purpose of these algorithms is to remove noise from a signal that might occur through the transmission of an image. A new algorithm, the spatial median filter, is introduced and compared with current image smoothing techniques. Experimental results demonstrate that the proposed algorithm is comparable to these techniques. A modification to this algorithm is introduced to achieve more accurate reconstructions over other popular techniques.